Explore 9 quantitative analytics jobs from 2 hiring companies in Tool, TX, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Quantitative Analytics

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Quantitative Analytics Jobs

Goldman Sachs

Vistra

Onsite

Asset & Wealth Management

About Goldman Sachs Wealth Management
Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data, and design.Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.&nbsp;
Responsibilities
As a strategist on our PWM Risk Strats team, you will work&nbsp;closely with various teams including risk management and fraud strategy.&nbsp;You will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability.
Responsibilities include:
<ul>
 <li>Developing and deploying ML models for fraud and anomaly detection as well as business workflows enhancement</li>
 <li>Delivering risk metrics and quantitative analytics for financial and non-financial risks across wealth management</li>
 <li>Develop AI-led solutions to improve efficiency and accuracy in risk management.</li>
 <li>Building and maintaining robust and systematic risk management tools and reporting</li>
 <li>Collaborating on the design of new and existing strategies to address clients’ investment goals.</li>
 <li>Developing and maintaining risk management and portfolio analysis tools across multiple asset classes for senior management and portfolio managers.</li>
 <li>Building and maintaining infrastructure of Strategists’ analytical systems.</li>
</ul>
Basic Qualifications
<ul>
 <li>Bachelor, Masters or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering</li>
 <li>1-3 years of experience in the job offered or related quantitative financial modeling and software development positions</li>
 <li>Programming and mathematical skills are required</li>
 <li>Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences&nbsp;</li>
 <li>A self-starter, should have ability to work independently as well as thrive in a team environment</li>
 <li>Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus</li>
 <li>Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark</li>
 <li>Experience with prompt engineering, working with LLM models, and MCP.</li>
 <li>Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL</li>
</ul>
Preferred Qualifications
<ul>
 <li>Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus</li>
 <li>Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark</li>
 <li>Experience with prompt engineering, working with LLM models, and MCP.</li>
 <li>Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL</li>
</ul>
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.&nbsp;
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.&nbsp;
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2021. All rights reserved.
Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Asset & Wealth Management - Quantitative Strategist - Associate - Dallas

Quantitative Strategist

Bachelor to PhD in quantitative/engineering field; 1-3 years in quantitative modeling or software development; strong programming and ML knowledge.

Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.&nbsp;
Responsibilities
As a strategist on our PWM Risk Strats team, you will work&nbsp;closely with various teams including risk management and fraud strategy.&nbsp;You will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability.
Responsibilities include:
<ul>
 <li>Developing and deploying ML models for fraud and anomaly detection as well as business workflows enhancement</li>
 <li>Delivering risk metrics and quantitative analytics for financial and non-financial risks across wealth management</li>
 <li>Develop AI-led solutions to improve efficiency and accuracy in risk management.</li>
 <li>Building and maintaining robust and systematic risk management tools and reporting</li>
 <li>Collaborating on the design of new and existing strategies to address clients’ investment goals.</li>
 <li>Developing and maintaining risk management and portfolio analysis tools across multiple asset classes for senior management and portfolio managers.</li>
 <li>Building and maintaining infrastructure of Strategists’ analytical systems.</li>
</ul>
&nbsp;
About Goldman Sachs Wealth Management
Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data, and design.
Basic Qualifications
<ul>
 <li>Bachelor, Masters or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering</li>
 <li>1-3 years of experience in the job offered or related quantitative financial modeling and software development positions</li>
 <li>Programming and mathematical skills are required</li>
 <li>Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences&nbsp;</li>
 <li>A self-starter, should have ability to work independently as well as thrive in a team environment</li>
 <li>Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus</li>
 <li>Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark</li>
 <li>Experience with prompt engineering, working with LLM models, and MCP.</li>
 <li>Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL</li>
</ul>
Preferred Qualifications
<ul>
 <li>Excellent understanding of machine learning techniques and algorithms, such as gradient boosting decision trees, random forests, etc., is a plus</li>
 <li>Experience with building models using common data science toolkits, i.e., Python (Pandas, NumPy, Scikit-learn) and Spark</li>
 <li>Experience with prompt engineering, working with LLM models, and MCP.</li>
 <li>Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL</li>
</ul>
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at&nbsp;<a href="http://gs.com/careers" target="_blank" rel="nofollow">GS.com/careers</a>.&nbsp;
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:&nbsp;<a href="https://www.goldmansachs.com/careers/footer/disability-statement.html%C2%A9" target="_blank" rel="nofollow">https://www.goldmansachs.com/careers/footer/disability-statement.html©</a>
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Asset & Wealth Management - Quantitative Strategist - Analyst - Dallas

Bachelor/Masters/PhD in quantitative/engineering field; 1-3 years in quantitative modeling/software development; Python/Spark experience; ML knowledge.

Asset Management
A career with Goldman Sachs Asset Management is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world's leading asset managers, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions, and building meaningful relationships with your clients. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. Goldman Sachs is one of the leading investors in alternatives globally and invests in the full spectrum of alternatives including private equity, growth equity, private credit, real estate, infrastructure, hedge funds, and sustainability. Clients access these solutions through direct strategies, customized partnerships, and open-architecture programs. The alternative investments platform is part of Goldman Sachs Asset Management, which delivers investment and advisory services across public and private markets for the world's leading institutions, financial advisors, and individuals. Goldman Sachs has over $2.8 trillion in assets under supervision globally as of December 31, 2023.
Your Impact
Within&nbsp;Goldman Sachs Asset Management,&nbsp;quantitative engineers work in close collaboration with all parts of the business across asset classes, building products for portfolio, fund, deal, and budgeting analytics and models.
We are interested in individuals who have strong coding skills and a continued interest in learning about finance. As a member of our team, you will use your training in programming, mathematics, and logical thinking to construct applications that drive our success. Your talents for analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
Job Overview
This Quantitative Strategist role is responsible for the design, and implementation of quantitative models and applications that support risk management, valuation, and budgeting projections for the AWM private investing businesses. The person will work closely with fund managers,&nbsp;risk managers, valuation experts, and other finance professionals to identify areas where quantitative analysis can provide insights and support decision-making, then implement models and applications to meet the desired business needs.&nbsp;
Basic Qualification
<ul>
 <li>
 Outstanding background in a quantitative discipline, with excellent analytical, quantitative, and problem-solving skills, and demonstrated abilities in research and data visualization</li>
 <li>
 Programming expertise in a scripting language (e.g. Python, R, Matlab)</li>
 <li>
 Strong general and technical communication skills, with an ability to effectively articulate complex financial and mathematical concepts</li>
 <li>
 Creativity and problem-solving skills</li>
 <li>
 Ability to work independently and in a team environment</li>
 <li>
 3 - 4 years of applicable experience</li>
</ul>
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at&nbsp;<a href="http://gs.com/careers" target="_blank" rel="nofollow">GS.com/careers</a>.&nbsp;
We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:&nbsp;<a href="https://www.goldmansachs.com/careers/footer/disability-statement.html%C2%A9" target="_blank" rel="nofollow">https://www.goldmansachs.com/careers/footer/disability-statement.html©</a>
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Strong quantitative background, programming in Python/R/ Matlab, 3-4 years experience, able to work independently and in a team, good communication.

Asset &amp; Wealth Management –Analyst Quantitative Strategist in PWM Portfolio Analytics:
Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will use your training in mathematics, programming, and logical thinking to construct quantitative models that drive our success in global financial markets. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
As a strategist on our portfolio analytics team within our premier Goldman Sachs Private Wealth Management business, you will collaborate closely with financial professionals in the PWM business to combine quantitative techniques and industry knowledge to help design and refine investment strategies tailored for our PWM clients. You will be expected to develop a deep understanding of a wide range of financial products.
Responsibilities include:
<ul>
 <li>Working closely with wealth management professionals to design and create client reporting tools</li>
 <li>Working with senior leadership on business analytics and marketing efforts</li>
 <li>Providing backtests, risk analytics, and other analyses of PWM’s investment strategies</li>
 <li>Developing simulations to quantify benefits of PWM strategies and help drive client engagement</li>
 <li>Developing standardized &amp; scalable client reporting for an extensive client base, along with customized and bespoke analytics for the division’s largest and most sophisticated clients</li>
 <li>Building and maintaining infrastructure of Strategists’ analytical systems in a resource efficient manner</li>
</ul>
&nbsp;About Goldman Sachs PWM:
Goldman Sachs Private Wealth Management (PWM) is a world-class provider of wealth management solutions for high-net-worth individuals, their families, and foundations. Our PWM advisors help clients manage their financial wealth including providing access to innovative investment ideas and opportunities, developing customized investment strategies, and offering a full array of wealth management services.
&nbsp;Qualifications:
<ul>
 <li>Bachelor or Masters in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering</li>
 <li>Programming and mathematical skills are required</li>
 <li>Interest and knowledge of the financial markets. Keen to understand all facets of Private Wealth Management business.</li>
 <li>Intelligence, creativity, and problem-solving skills</li>
 <li>Great communication skills (written and verbal)</li>
 <li>A self-starter, should have ability to work independently as well as thrive in a team environment</li>
</ul>
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at&nbsp;<a href="http://gs.com/careers" target="_blank">GS.com/careers</a>.&nbsp;
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:&nbsp;<a href="https://www.goldmansachs.com/careers/footer/disability-statement.html%C2%A9" target="_blank">https://www.goldmansachs.com/careers/footer/disability-statement.html©</a>
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Asset & Wealth Management - Quantitative Engineer - Analyst - Dallas

Quantitative Engineer

Bachelor’s or Master’s in a quantitative/engineering field; programming and math skills; interest in financial markets; strong problem-solving and communication skills; ability to work independently and in a team.

If you have what it takes to become part of the Vistra family and would like to start a promising career with a global leader, take a look at the exciting employment opportunities that are currently available and apply online.Job SummaryThe Sr. Analyst, Offer Strategy and Campaign Analytics will play an active role to deliver product mix and margin targets for TXU Energy brand. As part of the broader pricing and margin management team, the Sr. Analyst has responsibility for delivering optimized margin outcomes in accordance with customer growth and financial goals, analyzing campaign performance and providing actionable insights, leading improvements to business processes and facilitating the creation of appropriate reporting.Job DescriptionESSENTIAL DUTIES AND RESPONSIBILITIES<ul><li>Conduct economic, financial, competitive, and pricing analysis</li><li>Assist in evaluating residential offer strategy by performing detailed analysis on channel performance, pricing, and sales mix</li><li>Lead enhancement of go-to market planning models that help execute / launch campaigns; must be comfortable dealing with large quantities of data in Excel, Tableau, SQL, Snowflake, and /or Python</li><li>Proactively monitor and manage the margins of new and existing customers while supporting company efforts to minimize customer losses</li><li>Conduct ad hoc reporting and analysis to drive critical time sensitive business decisions</li><li>Proactively analyze markets and identify market segments where the company&#39;s position could be improved</li><li>Conduct variance analysis on sales mix and margin performance at the channel and program level; assist in presenting results, key observations, implications, and recommendations to mid and senior management</li><li>Collaborate with sales and marketing channels to identify performance improvement opportunities and design effective tools and tactics to improve performance</li><li>Support monthly and annual planning / forecasting process</li><li>Leverage project management practices to drive on‑time, defect‑free execution of pricing and offers across channels and programs</li><li>Actively participate in cross-functional teams, providing analysis expertise, offering original perspectives, and challenging the conventional view to better align decision making with changing market environments</li></ul>REQUIREMENTS<ul><li>Bachelor’s degree with 3&#43; years of work experience (or Master’s with 2&#43; years) in quantitative business function which includes financial, data, or business analytics or related field</li><li>Must have advanced experience in data modeling (Excel), with proficiency in SQL programming and statistical software, such as Snowflake, Python and data visualization tools (Tableau)</li><li>Experience leveraging AI‑enabled analytics and automation tools to enhance offer strategy, campaign analysis, and decision support is a strong plus</li><li>Knowledge and experience with customer facing and project coordination/management methods preferred</li><li>Preference given to experience that includes portfolio performance management, go-to market strategies, pricing strategies and tactics, and/or a holistic view of cross functional roles and dependencies</li><li>Exhibit a high level of morale and open communication, promoting transparency across the organization regarding offer strategy decisions</li></ul>Job FamilyMarketingCompanyVistra Retail Operations CompanyLocationsIrving, TexasTexas<div><div><div><div><div><div><div><h3>We are a company of people committed to:  Exceeding Customer Expectations, Great People, Teamwork, Competitive Spirit and Effective Communication.  If this describes you, then apply today!</h3></div></div></div></div></div></div></div><h3>If you currently work for Vistra or its subsidiaries, please apply via the internal career site. </h3>It is the policy of the Company to comply with all employment laws and to afford equal employment opportunity to individuals in all aspects of employment, including in selection for job opportunities, without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, disability, genetic information, military service, protected veteran status, or any other consideration protected by federal, state or local laws. <a href="mailto:assistance&#64;energyfutureholdings.com" target="_blank">If you are an individual with a disability and need assistance submitting an application or would like to request an accommodation, please email us at assistance&#64;vistraenergy.com to make a request.</a>

Sr. Analyst, Offer Strategy & Campaign Analytics

Analyst

Bachelor’s or Master’s in a quantitative field; 3+ years (Bachelor) or 2+ years (Master) in analytics; strong SQL, Excel, Tableau, Python; experience with Snowflake; pricing/offer strategy preferred.

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